
"""simple docstring"""






import io
import json

import fsspec
import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases




def __magic_name__	(				_lowerCamelCase:		Dict,					_lowerCamelCase:		Dict			)					->						Optional[int]:

	'''simple docstring'''




	assert isinstance(_lowerCamelCase,					_lowerCamelCase			)
	assert dataset.num_rows == 4
	assert dataset.num_columns == 3
	assert dataset.column_names == ["col_1", "col_2", "col_3"]
	for feature, expected_dtype in expected_features.items():
		assert dataset.features[feature].dtype == expected_dtype




@pytest.mark.parametrize('''keep_in_memory''',					[False, True]			)
def __magic_name__	(				_lowerCamelCase:		List[Any],					_lowerCamelCase:		Dict,					_lowerCamelCase:		List[str]			)					->						List[Any]:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					cache_dir=_lowerCamelCase,					keep_in_memory=_lowerCamelCase			).read()
	_check_json_dataset(_lowerCamelCase,					_lowerCamelCase			)




@pytest.mark.parametrize(
    '''features''',					[
        None,
        {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''},
        {'''col_1''': '''string''', '''col_2''': '''string''', '''col_3''': '''string'''},
        {'''col_1''': '''int32''', '''col_2''': '''int32''', '''col_3''': '''int32'''},
        {'''col_1''': '''float32''', '''col_2''': '''float32''', '''col_3''': '''float32'''},
    ],					)
def __magic_name__	(				_lowerCamelCase:		Dict,					_lowerCamelCase:		Tuple,					_lowerCamelCase:		str			)					->						Union[str, Any]:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	lowerCAmelCase												=  features.copy() if features else default_expected_features
	lowerCAmelCase												=  (
	    Features({feature: Value(_lowerCamelCase			) for feature, dtype in features.items()}			) if features is not None else None
	)
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					features=_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	_check_json_dataset(_lowerCamelCase,					_lowerCamelCase			)




@pytest.mark.parametrize(
    '''features''',					[
        None,
        {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''},
    ],					)
def __magic_name__	(				_lowerCamelCase:		int,					_lowerCamelCase:		Tuple,					_lowerCamelCase:		Tuple			)					->						Dict:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''}
	lowerCAmelCase												=  features.copy() if features else default_expected_features
	lowerCAmelCase												=  (
	    Features({feature: Value(_lowerCamelCase			) for feature, dtype in features.items()}			) if features is not None else None
	)
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					features=_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	assert isinstance(_lowerCamelCase,					_lowerCamelCase			)
	assert dataset.num_rows == 2
	assert dataset.num_columns == 3
	assert dataset.column_names == ["col_3", "col_1", "col_2"]
	for feature, expected_dtype in expected_features.items():
		assert dataset.features[feature].dtype == expected_dtype




def __magic_name__	(				_lowerCamelCase:		Optional[int],					_lowerCamelCase:		List[str]			)					->						Dict:

	'''simple docstring'''




	lowerCAmelCase												=  {'''col_2''': '''int64''', '''col_3''': '''float64''', '''col_1''': '''string'''}
	lowerCAmelCase												=  features.copy()
	lowerCAmelCase												=  (
	    Features({feature: Value(_lowerCamelCase			) for feature, dtype in features.items()}			) if features is not None else None
	)
	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					features=_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	assert isinstance(_lowerCamelCase,					_lowerCamelCase			)
	assert dataset.num_rows == 2
	assert dataset.num_columns == 3
	assert dataset.column_names == ["col_2", "col_3", "col_1"]
	for feature, expected_dtype in expected_features.items():
		assert dataset.features[feature].dtype == expected_dtype




@pytest.mark.parametrize('''split''',					[None, NamedSplit('''train'''			), '''train''', '''test''']			)
def __magic_name__	(				_lowerCamelCase:		str,					_lowerCamelCase:		int,					_lowerCamelCase:		Any			)					->						Tuple:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					cache_dir=_lowerCamelCase,					split=_lowerCamelCase			).read()
	_check_json_dataset(_lowerCamelCase,					_lowerCamelCase			)
	assert dataset.split == split if split else "train"




@pytest.mark.parametrize('''path_type''',					[str, list]			)
def __magic_name__	(				_lowerCamelCase:		int,					_lowerCamelCase:		Any,					_lowerCamelCase:		Tuple			)					->						Optional[int]:

	'''simple docstring'''




	if issubclass(_lowerCamelCase,					_lowerCamelCase			):
		lowerCAmelCase												=  jsonl_path
	elif issubclass(_lowerCamelCase,					_lowerCamelCase			):
		lowerCAmelCase												=  [jsonl_path]
	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	_check_json_dataset(_lowerCamelCase,					_lowerCamelCase			)




def __magic_name__	(				_lowerCamelCase:		str,					_lowerCamelCase:		Union[str, Any],					_lowerCamelCase:		Optional[int]=("train",)			)					->						Dict:

	'''simple docstring'''




	assert isinstance(_lowerCamelCase,					_lowerCamelCase			)
	for split in splits:
		lowerCAmelCase												=  dataset_dict[split]
		assert dataset.num_rows == 4
		assert dataset.num_columns == 3
		assert dataset.column_names == ["col_1", "col_2", "col_3"]
		for feature, expected_dtype in expected_features.items():
			assert dataset.features[feature].dtype == expected_dtype




@pytest.mark.parametrize('''keep_in_memory''',					[False, True]			)
def __magic_name__	(				_lowerCamelCase:		Tuple,					_lowerCamelCase:		int,					_lowerCamelCase:		List[str]			)					->						int:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		lowerCAmelCase												=  JsonDatasetReader({'''train''': jsonl_path},					cache_dir=_lowerCamelCase,					keep_in_memory=_lowerCamelCase			).read()
	_check_json_datasetdict(_lowerCamelCase,					_lowerCamelCase			)




@pytest.mark.parametrize(
    '''features''',					[
        None,
        {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''},
        {'''col_1''': '''string''', '''col_2''': '''string''', '''col_3''': '''string'''},
        {'''col_1''': '''int32''', '''col_2''': '''int32''', '''col_3''': '''int32'''},
        {'''col_1''': '''float32''', '''col_2''': '''float32''', '''col_3''': '''float32'''},
    ],					)
def __magic_name__	(				_lowerCamelCase:		Dict,					_lowerCamelCase:		Tuple,					_lowerCamelCase:		Any			)					->						Tuple:

	'''simple docstring'''




	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	lowerCAmelCase												=  features.copy() if features else default_expected_features
	lowerCAmelCase												=  (
	    Features({feature: Value(_lowerCamelCase			) for feature, dtype in features.items()}			) if features is not None else None
	)
	lowerCAmelCase												=  JsonDatasetReader({'''train''': jsonl_path},					features=_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	_check_json_datasetdict(_lowerCamelCase,					_lowerCamelCase			)




@pytest.mark.parametrize('''split''',					[None, NamedSplit('''train'''			), '''train''', '''test''']			)
def __magic_name__	(				_lowerCamelCase:		str,					_lowerCamelCase:		str,					_lowerCamelCase:		str			)					->						Any:

	'''simple docstring'''




	if split:
		lowerCAmelCase												=  {split: jsonl_path}
	else:
		lowerCAmelCase												=  '''train'''
		lowerCAmelCase												=  {'''train''': jsonl_path, '''test''': jsonl_path}
	lowerCAmelCase												=  tmp_path / '''cache'''
	lowerCAmelCase												=  {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
	lowerCAmelCase												=  JsonDatasetReader(_lowerCamelCase,					cache_dir=_lowerCamelCase			).read()
	_check_json_datasetdict(_lowerCamelCase,					_lowerCamelCase,					splits=list(path.keys()			)			)
	assert all(dataset[split].split == split for split in path.keys()			)




def __magic_name__	(				_lowerCamelCase:		Optional[Any]			)					->						Union[str, Any]:

	'''simple docstring'''




	return json.load(_lowerCamelCase			)




def __magic_name__	(				_lowerCamelCase:		Union[str, Any]			)					->						Optional[int]:

	'''simple docstring'''




	return [json.loads(_lowerCamelCase			) for line in buffer]



class 			lowercase					:






			@pytest.mark.parametrize('''lines, load_json_function'''      ,[(True, load_json_lines), (False, load_json)]			)
			def 					UpperCAmelCase							(self  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]			)       ->	str:





				"""simple docstring"""


				with io.BytesIO() as buffer:
					JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,lines=SCREAMING_SNAKE_CASE_			).write()
					buffer.seek(0			)
					lowerCAmelCase												=  load_json_function(SCREAMING_SNAKE_CASE_			)
				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				assert isinstance(exported_content[0]      ,SCREAMING_SNAKE_CASE_			)
				assert len(SCREAMING_SNAKE_CASE_			) == 10






			@pytest.mark.parametrize(
			    '''orient, container, keys, len_at'''      ,[
			        ('''records''', list, {'''tokens''', '''labels''', '''answers''', '''id'''}, None),
			        ('''split''', dict, {'''columns''', '''data'''}, '''data'''),
			        ('''index''', dict, set('''0123456789'''			), None),
			        ('''columns''', dict, {'''tokens''', '''labels''', '''answers''', '''id'''}, '''tokens'''),
			        ('''values''', list, None, None),
			        ('''table''', dict, {'''schema''', '''data'''}, '''data'''),
			    ]      ,)
			def 					UpperCAmelCase							(self  :	Any      ,SCREAMING_SNAKE_CASE_  :	Dict      ,SCREAMING_SNAKE_CASE_  :	Tuple      ,SCREAMING_SNAKE_CASE_  :	Optional[int]      ,SCREAMING_SNAKE_CASE_  :	Dict      ,SCREAMING_SNAKE_CASE_  :	List[str]			)       ->	Tuple:





				"""simple docstring"""


				with io.BytesIO() as buffer:
					JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,lines=SCREAMING_SNAKE_CASE_      ,orient=SCREAMING_SNAKE_CASE_			).write()
					buffer.seek(0			)
					lowerCAmelCase												=  load_json(SCREAMING_SNAKE_CASE_			)
				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				if keys:
					if container is dict:
						assert exported_content.keys() == keys
					else:
						assert exported_content[0].keys() == keys
				else:
					assert not hasattr(SCREAMING_SNAKE_CASE_      ,'''keys'''			) and not hasattr(exported_content[0]      ,'''keys'''			)
				if len_at:
					assert len(exported_content[len_at]			) == 10
				else:
					assert len(SCREAMING_SNAKE_CASE_			) == 10






			@pytest.mark.parametrize('''lines, load_json_function'''      ,[(True, load_json_lines), (False, load_json)]			)
			def 					UpperCAmelCase							(self  :	Any      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	Tuple      ,SCREAMING_SNAKE_CASE_  :	Tuple			)       ->	Optional[Any]:





				"""simple docstring"""


				with io.BytesIO() as buffer:
					JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,lines=SCREAMING_SNAKE_CASE_      ,num_proc=2			).write()
					buffer.seek(0			)
					lowerCAmelCase												=  load_json_function(SCREAMING_SNAKE_CASE_			)
				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				assert isinstance(exported_content[0]      ,SCREAMING_SNAKE_CASE_			)
				assert len(SCREAMING_SNAKE_CASE_			) == 10






			@pytest.mark.parametrize(
			    '''orient, container, keys, len_at'''      ,[
			        ('''records''', list, {'''tokens''', '''labels''', '''answers''', '''id'''}, None),
			        ('''split''', dict, {'''columns''', '''data'''}, '''data'''),
			        ('''index''', dict, set('''0123456789'''			), None),
			        ('''columns''', dict, {'''tokens''', '''labels''', '''answers''', '''id'''}, '''tokens'''),
			        ('''values''', list, None, None),
			        ('''table''', dict, {'''schema''', '''data'''}, '''data'''),
			    ]      ,)
			def 					UpperCAmelCase							(self  :	str      ,SCREAMING_SNAKE_CASE_  :	Optional[int]      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	Dict      ,SCREAMING_SNAKE_CASE_  :	List[str]			)       ->	Dict:





				"""simple docstring"""


				with io.BytesIO() as buffer:
					JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,lines=SCREAMING_SNAKE_CASE_      ,orient=SCREAMING_SNAKE_CASE_      ,num_proc=2			).write()
					buffer.seek(0			)
					lowerCAmelCase												=  load_json(SCREAMING_SNAKE_CASE_			)
				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				if keys:
					if container is dict:
						assert exported_content.keys() == keys
					else:
						assert exported_content[0].keys() == keys
				else:
					assert not hasattr(SCREAMING_SNAKE_CASE_      ,'''keys'''			) and not hasattr(exported_content[0]      ,'''keys'''			)
				if len_at:
					assert len(exported_content[len_at]			) == 10
				else:
					assert len(SCREAMING_SNAKE_CASE_			) == 10






			def 					UpperCAmelCase							(self  :	str      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	Tuple:





				"""simple docstring"""


				with pytest.raises(SCREAMING_SNAKE_CASE_			):
					with io.BytesIO() as buffer:
						JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,num_proc=0			)






			@pytest.mark.parametrize('''compression, extension'''      ,[('''gzip''', '''gz'''), ('''bz2''', '''bz2'''), ('''xz''', '''xz''')]			)
			def 					UpperCAmelCase							(self  :	int      ,SCREAMING_SNAKE_CASE_  :	Any      ,SCREAMING_SNAKE_CASE_  :	Tuple      ,SCREAMING_SNAKE_CASE_  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	Any			)       ->	Any:





				"""simple docstring"""


				lowerCAmelCase												=  tmp_path_factory.mktemp('''data'''			) / F"""test.json.{extension}"""
				lowerCAmelCase												=  str(shared_datadir / F"""test_file.json.{extension}"""			)
				JsonDatasetWriter(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      ,compression=SCREAMING_SNAKE_CASE_			).write()

				with fsspec.open(SCREAMING_SNAKE_CASE_      ,'''rb'''      ,compression='''infer'''			) as f:
					lowerCAmelCase												=  f.read()
				with fsspec.open(SCREAMING_SNAKE_CASE_      ,'''rb'''      ,compression='''infer'''			) as f:
					lowerCAmelCase												=  f.read()
				assert exported_content == original_content




"""simple docstring"""






class 			lowercase					:






			def __init__(self  :	Dict			)       ->	List[Any]:





				"""simple docstring"""


				lowerCAmelCase												=  {}






			def 					UpperCAmelCase							(self  :	Union[str, Any]			)       ->	None:





				"""simple docstring"""


				print(self.vertex			)
				for i in self.vertex:
					print(SCREAMING_SNAKE_CASE_      ,''' -> '''      ,''' -> '''.join([str(SCREAMING_SNAKE_CASE_			) for j in self.vertex[i]]			)			)






			def 					UpperCAmelCase							(self  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	None:





				"""simple docstring"""


				if from_vertex in self.vertex:
					self.vertex[from_vertex].append(SCREAMING_SNAKE_CASE_			)
				else:
					# else make a new vertex
					lowerCAmelCase												=  [to_vertex]






			def 					UpperCAmelCase							(self  :	List[str]			)       ->	None:





				"""simple docstring"""


				lowerCAmelCase												=  [False] * len(self.vertex			)

				# call the recursive helper function
				for i in range(len(self.vertex			)			):
					if not visited[i]:
						self.dfs_recursive(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)






			def 					UpperCAmelCase							(self  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	list			)       ->	None:





				"""simple docstring"""


				lowerCAmelCase												=  True

				print(SCREAMING_SNAKE_CASE_      ,end=''' '''			)

				# Recur for all the vertices that are adjacent to this node
				for i in self.vertex:
					if not visited[i]:
						self.dfs_recursive(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
					UpperCAmelCase        =				Graph()
					g.add_edge(0, 1)
					g.add_edge(0, 2)
					g.add_edge(1, 2)
					g.add_edge(2, 0)
					g.add_edge(2, 3)
					g.add_edge(3, 3)

					g.print_graph()
					print("""DFS:""")
					g.dfs()

					# OUTPUT:
					# 0  ->  1 -> 2
					# 1  ->  2
					# 2  ->  0 -> 3
					# 3  ->  3
					# DFS:
					#  0 1 2 3


